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Although team reflexivity has been identified as a potent tool for improving organizational performance, how and when it influences individual employee innovative behavior remains theoretically and conceptually underspecified. Taking a knowledge management perspective, this study aims to investigate the role of team-level knowledge sharing and leadership in transforming team reflexivity into innovative behavior at the individual level.

The paper follows a multilevel study design to collect data (n = 441) from 91 teams in 48 knowledge-based organizations. The paper tests our multilevel model using multinomial logistic techniques.

The overall results confirm that knowledge sharing in teams mediates the influence of team reflexivity on individual employee innovative behavior, and that leadership plays an important role in moderating these influences. Specifically, authoritarian leadership is found to attenuate the team reflexivity and knowledge sharing effect, whereas benevolent leadership is found to amplify this indirect effect.

The multilevel study design that explains how team-level processes translate into innovative behavior at the individual employee level is novel. Relatedly, our use of a multilevel analytical framework is also original.

Based on goal orientation theory, this study aims to examine how and when employees' performance goal orientations (PGOs) affect their change-supportive behavior in entrepreneurial firms undergoing change.

A two-wave time-lagged research design was applied to collect data from companies undergoing change in China.

The results showed that employees' performance-proving goal orientation (PPGO) was positively related to change-supportive behavior, and employees' performance-avoiding goal orientation (PAGO) was negatively related to change-supportive behavior. Openness to change played a mediating role in these mechanisms, and employees' learning goal orientation (LGO) played a moderating role.

By solving the mechanism of the relationship between PGOs and change-supportive behavior that has not been explored before, this study answers the question of how and when different PGOs affect support behavior.

The aim of this paper is to develop a tool measuring individual intellectual capital (IIC) and investigate the relationship between self-reflection and IIC.

This study developed a theoretical model based on social cognitive theory and the literature of self-reflection and intellectual capital (IC). This research collected responses from 502 dyads of employees and their direct supervisors in 150 firms in China, and the study tested the research model using structural equation modeling (SEM).

The results indicate that three components of self-reflection, namely, need for self-reflection, engagement in self-reflection and insight, significantly contribute to all the three components of IIC, such as individual human capital, individual structural capital and individual relational capital. The findings suggest that need for self-reflection is the weakest component to impact individual human capital and individual relationship capital, while insight is the one that mostly enhances individual structural capital.

This paper suggests that managers can enhance employees' IIC by facilitating their self-reflection. Managers can develop appropriate strategies based on findings of this study, to achieve their specific goals.

First, this study develops a tool for measuring IIC. Second, this study provides an enriched theoretical explanation on the relationship between self-reflection and IIC – by showing that the three subdimensions of self-reflection, such as need, engagement and insight, influence the three subdimensions of IIC, such as individual human capital, individual structural capital and individual relational capital.

This study deals with the issue of how ethnic diversity on boards in a given firm may influence its performance in human resource management (HRM). Moreover, the study also tests the interaction between ethnic diversity and gender diversity and examines their joint effect on HRM.

Based on prior research, we predict that, with increasing demographic diversity in organizations today, ethnic diversity on boards should have a positive effect on HRM. Moreover, gender diversity, as a most visible dimension of demographic diversity, should have both a direct positive effect and an indirect moderating effect on the relationship between ethnic diversity and HRM. Hierarchical regression analysis was conducted to test the hypotheses.

Our data analyses show empirical evidence supporting our predictions. First, our study shows that employer–employee relationship can be influenced by ethnic diversity on boards. Second, the foregoing analyses highlight the importance of considering the interaction between different dimensions of demographic diversity, such as that between ethnic and gender diversity. With a higher level of gender diversity on boards, the positive effect of ethnic diversity on HRM can become more salient.

This research tests the benefits of ethnic diversity on boards for improving firms’ performance in HRM, thus making a contribution by helping to understand the effects of ethnic diversity in a more comprehensive way. We also document the beneficial moderating effects of gender diversity on boards for the first time.

As an unhealthy dependence on social media platforms, social media addiction (SMA) has become increasingly commonplace in the digital era. The purpose of this paper is to provide a general overview of SMA research and develop a theoretical model that explains how different types of factors contribute to SMA.

Considering the nascent nature of this research area, this study conducted a systematic review to synthesize the burgeoning literature examining influencing factors of SMA. Based on a comprehensive literature search and screening process, 84 articles were included in the final sample.

Analyses showed that antecedents of SMA can be classified into three conceptual levels: individual, environmental and platform. The authors further proposed a theoretical framework to explain the underlying mechanisms behind the relationships amongst different types of variables.

The contributions of this review are two-fold. First, it used a systematic and rigorous approach to summarize the empirical landscape of SMA research, providing theoretical insights and future research directions in this area. Second, the findings could help social media service providers and health professionals propose relevant intervention strategies to mitigate SMA.

This paper aims to present the mechanical design and kinematics of a novel rigid-flexible coupling hybrid robot to develop a promising aeroengine blades in situ repair technology.

According to requirements analysis, a novel rigid-flexible coupling hybrid robot is proposed by combining a three degrees of freedom (DOF) parallel mechanism with a flexible continuum section. Then the kinematics models of both parallel mechanism and flexible continuum section are derived respectively. Finally, based on equivalent joint method, a two-step numerical iterative inverse kinematics algorithm is proposed for the whole robot: (1) the flexible continuum section is equivalently transformed to a 2-DOF spherical joint, thus the approximate analytical inverse kinematic solution can be obtained; (2) the accurate solution is derived by an iterative derivation of both parallel mechanism and flexible continuum section.

To verify structure scheme and the proposed kinematics modeling method, numerical simulations and prototype experiments are implemented. The results show that the proposed kinematics algorithm has sufficient accuracy and computational efficiency in the whole available workspace, that is end-effector position error and orientation error are less than 0.2 mm and 0.01° respectively, and computation time is less than 0.22s.

A novel rigid-flexible coupling hybrid robot for aeroengine blades in situ repair is designed. A two-step numerical iterative inverse kinematics algorithm is proposed for this unique hybrid robots, which has good accuracy and computational efficiency.

This paper aims to clearly conceptualize the idea of the smart library and propose a holistic approach to building smart libraries, in accordance with recent practices and state-of-the-art technologies.

Drawing on an extensive review of existing literature and practice about library construction, this paper distinguishes between similar types of smart library and divides the concepts associated with smart library building into three dimensions: technology, service and human.

Traditional libraries can transform to smart libraries by strategic design and implementation of advanced technologies, such as cloud computing, data mining and artificial intelligence, but they also need to consider service building, user cultivation and librarian training.

Aligning to the three main dimensions of smart libraries (technology, service and human), this study clarifies the concept of the smart library and offers strategic principles: integration of infrastructures, construction of service and human learning. It provides guidelines and directions for public and academic libraries committed to becoming smart libraries.

The phenomenon of mobile social networking site (SNS) addiction has become increasingly severe nowadays and brings adverse outcomes to users’ daily life and work efficiency. However, there are relatively few research probes into the formation process of mobile SNS addiction behavior, and how demographic factors (e.g. gender and age) influence users’ addiction behavior. Adopting the stimulus–organism–response (S–O–R) framework, this study examines the effects of three types of technological functions (enjoyment, sociability and information value) on flow in relation to mobile SNS addiction. The authors further proposed gender and age as moderators, which play important roles in influencing the formation of mobile SNS addiction behavior.

This study examines the formation of mobile SNS addiction with a particular focus on the WeChat app. The authors use a field survey study conducted in China with 351 subjects of WeChat app users to examine thestudy model.

The results demonstrate that addictive behavior is determined by users’ flow states of using mobile SNS. The flow states, in turn, are influenced by three types of technological functions (enjoyment, sociability and information value). In addition, gender and age act as vital moderators in the model.

First, the authors empirically examine the formation of SNS addiction on the mobile device by adopting the S–O–R framework, which may enrich the addiction literature. Second, the authors reveal the moderating roles of age and gender in affecting the formation process of addiction behavior further. The findings of this research deepen our understanding of users’ addiction behavior. Third, the findings also offer rich insights to prevent mobile SNS addiction.

The purpose of this paper is to improve the film stiffness of a dry gas seal (DGS) through the proper design of 3D macroscopic surface structures based on numerical study.

A novel generalized three-dimensional (3D) geometric model is proposed to characterize macroscopic surface structures of a DGS, including grooves, waviness, radial taper and step. The mathematical model is established to simulate film pressure distribution. The effect of the surface profile and groove bottom profile on the steady-state performance of DGSs at different working conditions is investigated.

The unidirectional groove surface has the largest film stiffness at different speed conditions and the largest opening force at medium and high speed, whereas the annular groove has the largest opening force at static pressure. For obtaining the maximum film stiffness, unidirectional combined variable depth groove surface when ns = 0.4 and k = 0.5 outperforms the other unidirectional groove surfaces, whereas circumferential waviness when ns = 1 and k = 1 is the best choice among annular groove surfaces.

This study proposes a novel generalized 3D geometric model to characterize macroscopic surface structures of a DGS. The optimal groove bottom profile for different surface profiles of DGS is presented.

Due to the frequent occurrence of data breaches, managing the cost of these events has become one of the biggest challenges confronting modern businesses. Firms urgently require strong security and effective event response strategies to tackle data breaches.

This study first quantified the cost of 196 data breach events between 2016 and 2019 using the event study method and then utilized the crisp-set qualitative comparative analysis (csQCA) method to investigate the influencing mechanisms of the data breach cost from the configured perspectives of firm, event and response strategy.

The results of the event study revealed significant differences in the cost of data breaches and their influencing factors between traditional and Internet-based firms. While Internet-based firms tended to experience a negative market reaction following a data breach, traditional firms did not show the same pattern. Based on the configuration analysis, six different strategies for cost control were identified, including mitigation and apology strategies for internet-based firms and indifference, fact-statement, silence-keeping and reputation-building strategies for traditional firms.

The findings of this study can provide deeper insights into the market reaction to data breach events as well as their influencing mechanisms. Furthermore, this study offers practical suggestions for corporations to manage and control the strikes of data breach incidents.